By 2024, as much as 65% of application development will be done on no-code/low-code platforms, according to a Gartner Magic Quadrant report.

Going forward Log your questions in iampython website.

I can help you when you do only in this platform

Actually I was created this for community interaction.

Little more design and functionality work in progress

Launching mobile apps very soon


https://iampython.com/users/signup/

Plotly Introduction - Modern Data Visualization https://youtu.be/pcyDITv_ku8


I am started Plotly modern data visualisation tutorial


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Difference between Image Recognition, Object Detection, Semantic Segmentation and Instance Segmentation

Tableau has introduced a new class of artificial intelligence (AI)-powered analytics to enhance data science techniques and enable business users to take decisions faster.

Tableau’s tool can help create models, make predictions, frame what-if scenarios, run other analytical methods – all using clicks, not code. It can be used to improve supply chain efficiency, predict likelihood of purchase or maximise delivery of goods or services.

The tool will be available in Tableau 2021.1 update later this month, which also brings Salesforce’s AI-driven analytics – Einstein Discovery, into Tableau

This website will help you learn probability and statistics, the most important topics in math for machine learning!

seeing-theory.brown.edu

DeepLearning Frameworks

TensorFlow is an end-to-end platform for machine learning. It has a comprehensive, flexible ecosystem of tools and libraries to build and deploy machine learning-powered applications.


Keras is a highly-productive deep learning interface running on top of TensorFlow. It provides essential abstractions and building blocks for developing and shipping machine learning solutions with high iteration velocity.

PyTorch is a machine and deep learning framework used primarily for natural language processing and computer vision applications. In the community, PyTorch has grown as a research-first library.


MXNet is a lean, flexible and scalable deep learning framework suited for flexible research, prototyping, and production of deep learning applications.

FastAI is a deep learning library providing high and low-level components to achieve state-of-the-art results in standard deep learning domains. FastAI sits on top of the PyTorch framework.

https://www.nvidia.com/en-us/gtc/keynote

I registered myself .. pls do this is very interesting

Mathematics for Machine Learning

AI and DataScience Reources - USeful

Samples, Reference Architectures & Best Practices : https://github.com/microsoft/AI (Microsoft)

I have listed very import weblinks. Basically these resources and already explained in video as well. Please check out if you want to learn python in depth.

Django RestFramework ViewSet.. Simple way to define Views in DRF.

Standard Error Estimate on Regression Problems in ML